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Privacy-Preserving Authentication Scheme for 5G Cloud-Fog Hybrid with Soft Biometrics

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Information Security Practice and Experience (ISPEC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14341))

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Abstract

The feature of Enhanced Mobile Broadband (eMBB) and Cloud-Fog hybrid architecture in 5G significantly enhance the communication and computation capabilities of 5G devices, and make the biometric traits collection, recognition and authentication become possible. However, since biometrics such as face ID, fingerprint, etc. are belonging to user’s privacy, by considering the curiosity of cloud server and the law of General Data Protection Regulation (GDPR), we can’t use biometrics directly in 5G cloud-fog hybrid scenarios. To solve this problem, in this paper, we propose a privacy-preserving authentication scheme based on soft biometric traits (PPA-SBT). In our scheme, soft biometrics without privacy attributes are designed to protect the biometrics with privacy attributes through encryption, and improve the recognition speed and accuracy rate. We conducted the theoretical security analysis of the proposed scheme with formal method and also conducted experiments with real dataset and public datasets respectively, the experimental results demonstrate the feasibility and convenience of PPA-SBT.

This work was supported by National Key R &D Program of China No.2022YFB2902205 and the Key Research and Development Program of Shaanxi(No.2020ZDLGY08-08).

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Authors and Affiliations

  1. School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, China

    Jiahui Wang, Yulong Fu, Mengru Liu, Jin Cao, Hui Li & Zheng Yan

  2. State Key Laboratory of Integrated Services Networks, Xi’an, Shaanxi, China

    Yulong Fu, Jin Cao & Hui Li

  3. Aalto University, Espoo, Finland

    Zheng Yan

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  1. Jiahui Wang
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  4. Jin Cao
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Correspondence to Yulong Fu .

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Editors and Affiliations

  1. Technical University of Denmark, Kongens Lyngby, Denmark

    Weizhi Meng

  2. Xidian University, Xi'an, China

    Zheng Yan

  3. University of Milan, Milan, Italy

    Vincenzo Piuri

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Wang, J., Fu, Y., Liu, M., Cao, J., Li, H., Yan, Z. (2023). Privacy-Preserving Authentication Scheme for 5G Cloud-Fog Hybrid with Soft Biometrics. In: Meng, W., Yan, Z., Piuri, V. (eds) Information Security Practice and Experience. ISPEC 2023. Lecture Notes in Computer Science, vol 14341. Springer, Singapore. https://doi.org/10.1007/978-981-99-7032-2_4

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  • DOI: https://doi.org/10.1007/978-981-99-7032-2_4

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  • Print ISBN: 978-981-99-7031-5

  • Online ISBN: 978-981-99-7032-2

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